The National Academy of Medicine considers some pertinent ins and outs of GenAI. 

The Department of Health and Human Services is looking to replace lab animals with AI models. Even more bullish on AI is the new boss at the Centers for Medicare and Medicaid Services. 

GenAI initiatives are complex and—in some cases—costly. “As such, the main rationale for pursuing them needs to be business growth, not workforce reductions.” 

The authors of the survey report note that AI tools mentioned by respondents run the gamut from automated appointment reminders to dynamic “care gap” messaging. 

Some AI decision-support models have a proclivity for recommending aggressive care pathways. And doing so on the basis of patient demographics, not medical necessity.

As applications of AI spread rapidly across healthcare, ambient scribes are poised to become one of the fastest technology adoptions in the history of the sector. 

Is trial and error any way for a sprawling health system to roll out AI? Duke Health’s chief medical information officer believes so. 

Many if not most hospitals and other provider organizations take a decided interest in what their peer institutions are doing with AI. A major motivator for the keen curiosity is gauging how well one is keeping up with the Joneses. So to speak.